|Publication number||US6054951 A|
|Application number||US 08/867,053|
|Publication date||25 Apr 2000|
|Filing date||2 Jun 1997|
|Priority date||28 Aug 1995|
|Publication number||08867053, 867053, US 6054951 A, US 6054951A, US-A-6054951, US6054951 A, US6054951A|
|Original Assignee||Sypniewski; Jozef|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (39), Non-Patent Citations (8), Referenced by (14), Classifications (9), Legal Events (5)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This application claims priority to Provisional Application Ser. No. 60/002,866, filed Aug. 28, 1995.
The present invention relates to tracking systems and more particularly to a multidimensional tracking system employing relative low frequency signals thereby permitting structural penetration of a tracking signal.
The problem of creating at least three degree-of-freedom (3D) tracking devices is a long-standing one. There has been a variety of attempts to determine the position and movement of a target. For example, global positioning system (GPS), receives a signal from at least four satellites and provides the position of the receiver. Loran C operates on a similar principle, but is based on ground deployed radio beacons. Many tracking systems have developed to track moving vehicles. Most of these systems employ either directional antennas or rely on a comparison of the phase of the arriving signal to the different parts of a multi-section antenna. While these systems perform well in their applications, either speed, accuracy or cost may prohibit their employment in real time computer applications.
A relatively large number of electromagnetic (EM) trackers are available for computer applications. Most of these EM trackers are based on near field EM propagation. Polhemus Incorporated pioneered the field of AC magnetic trackers and holds many patents since 1977. Ascension Corporation has developed a DC magnetic tracker that is less prone to interference from metal. A variety of ultrasonic trackers is also known. In the field of optical tracking, the pioneering work done at the University of North Carolina has shown the efficacy of this method. Mechanical devices and a combination of inertial-global positioning systems have also been developed to determine the position and orientation of objects.
While research is still being conducted in all of these fields, these technologies are relatively mature. However all of these techniques, while highly evolved, are subject to limitations that are inherent to each method. No single current technology is able to meet the requirements demanding computer applications require.
Prior systems also are subject to the limitation that a receiver must be located within a line of sight of each position in which the transmitter is to be tracked. That is, in buildings, a receiver is required in each room and any connecting halls that are not within a single line of sight. This restriction requires that a significant number of receivers be employed. The high number of receivers increases the cost of the system as well as installation and maintenance costs.
The need for a multidimensional tracking sensor is rapidly growing, and expanding into previously unrelated technologies. Specifically, the recent development of virtual reality equipment has generated an emphasis on a short range tracking sensors for a helmet mounted display (HMD). In addition, these short range tracking sensors are finding applications in automobile crash testing where geometrical data is logged directly during the test. Further, the short range tracking sensors may find application in the medical field for rehabilitation and injury claims where the device can track movement of the human body. The variety of uses for multidimensional tracking sensors is very diverse, and includes animation, tele-operation, and training simulation. As the enabling hardware technology becomes further refined, it is anticipated the number of applications will multiply. The recent increases in performance and cost effectiveness of digital signal processing and data converter products have increased the feasibility of electromagnetic (EM) correlation techniques in the field of multidimensional position tracking.
The present method for the multidimensional tracking of an object includes fixing five receivers at spaced apart locations; moving a transmitter connected to the object with respect to the five receivers; receiving a transmitted signal at each of the receivers; and solving a linear equation in response to the received signals to track movement of the transmitter. In a further configuration, the method includes generating an internal receiver signal for each receiver. It is also contemplated the method may employ generating a convolution between signals from each receiver.
With respect to the apparatus, the present invention for the multi-dimensional tracking of an object includes five spaced apart receivers. A single reference signal is supplied to each receiver. The receivers generate an internal receiver signal which self convolution having a single global maximum within a measured time interval; a transmitter moveable relative to the receivers, the transmitter generating a signal which self convolution has a single global maximum within the maximum measured time interval; and a digital signal processor solving a linear equation in response to signals received by the receivers to track movement of the transmitter.
The present method and apparatus do not suffer from the obvious tradeoffs and built in limitations of other approaches. The range of the present multi-dimensional tracking system is limited only by the power of the transmitter. This allows the present device to exceed the requirements for current applications by several orders of magnitude. Also, the present device is not a subject to line-of-sight restrictions, nor is the tracked unit restricted to certain (generally upright) orientations. A further advantage is a low latency due to the short time of flight for the signal. Metallic, ferrometallic, or CRT devices may be present near the tracked unit without causing significant interference. This robust technique can be employed in a wide variety of computer applications where known methods have limited uses.
FIG. 1 is a schematic of a basic configuration of the system.
FIG. 2 is a block diagram of the transmitter circuit.
FIG. 3 is a block diagram of the receiver circuit.
FIG. 4 is a block diagram of the matched filter block diagram.
FIG. 5 is a block diagram of the noncoherent detector.
FIG. 6 is a schematic of expected value and confidence interval of vector r→x from a simultaneous measurements.
Referring to FIG. 1, the present invention may be used for the multi-dimensional tracking of an object. In particular, the device determines a position vector of a tracked object M relative to a plurality of stationary units Sn, and employs a reconstruction method and a calibration method. Particularly, the tracked unit includes a transmitter for generating a carrier signal and each stationary unit includes an antenna element thus forming a receiver array.
To determine the position of the transmitter moving in a cube (or three dimensional space), it is sufficient to measure the differences between a propagation time of a carrier signal from the transmitter to each stationary antenna element of a receiver array. If the number of antenna elements is larger than the number of dimensions by at least one, that is, four antenna elements for three dimensional measurement, then the differences in propagation time at each antenna element determine two concurrent position points of which only one is correct. However, further raising the number of antenna elements by at least one, that is five antenna elements for three dimensional tracking, it is possible to uniquely determine a position of the target. Both configurations have practical applications in that they can locate the tracked object, however, the system with more antenna elements has the additional advantages of an over-determined system and a much faster reconstruction algorithm.
The system includes a plurality of the stationary units Sn, a movable transmitting unit M and a control system. Each of the stationary units Sn is a receiver with an antenna element. The stationary units Sn are located to form a receiver array. The movable unit M includes a transmitter for generating an electromagnetic transmitting signal which self convolution has a single global maximum within a maximum measured time interval. The control system includes a digital signal processor capable of solving a linear equation in response to signals received by the receivers to track movement of the transmitting unit M.
Although described in terms of stationary receiving units Sn and a movable transmitting unit M, it is understood the present invention may be employed with stationary transmitters and a movable receiver.
As shown in FIG. 1, the proposed multi-dimensional tracking system includes a minimum of five stationary units Sn for three dimensional tracking measurements. Each of the five stationary units Sn includes the corresponding antenna element and thus forms a portion of the receiver array. For purposes of the disclosure, r→n is the position vectors of the corresponding stationary unit Sn as determined by the calibration procedure. Each stationary unit includes a receiver.
The movable unit M is the transmitter antenna for which position vector r→x is to be measured. The transmitted signal may be any of a variety of frequencies, such as 918 MHz. The transmitter includes a transmitter antenna. The transmitter generates an electromagnetic signal which self convolution has a single global maximum within a measured time interval.
In addition, the present tracking system includes a data acquisition and control system (CS). The CS is a digital signal processor capable of rapid data collection. A typical digital signal processor is a programmable ASIC 7C381 and DSP ADSP-2101 as manufactured by Cyprys Semiconductor and Analog Devices, respectively. The CS performs not only all the signal processing functions but also the reconstruction algorithm of the position vector rx. The CS further includes a low noise amplifier (LNA) for amplifying the received signal Sn (t, ω, φ) and a local code generator (LG) in which the signals SLI (t, ω, φ) and SLQ (t, ω, φ) are mixed. LG has similar structure to the transmitter with the additional ability to adjust parameters ω, φ of the signals SLI (t, ω, φ)and SLQ (t, ω, φ).
Generally, the signal processor has a number of matched filters and non coherent detectors equal to the plurality of receivers. A mixer in the receiver multiplies the received signal by an internal receiver signal for each receiver, and the signal processor optimizes the product with a transfer function in a corresponding matched filter that minimizes the energy of any signal uncorrelated with the product of the received signal and the internal receiver signal. In another step, the signal processor cross correlates signals from the matched filters. Also, the signal processor adjusts the phase (φ) and frequency (ω) of the code generator (LG) using a non coherent detector procedure.
The stationary units Sn are spread over the area of interest forming the best possible triangulation pattern for the anticipated measurements. This triangulation area can be very small or very large, ranging from meters to many kilometers. The dispersal pattern for the stationary units Sn is non-restrictive; and therefore, any convenient location is satisfactory. Thus, contrary to the prior line of sight restricted systems requiring a receiver in each area to be monitored, the present system permits the dispersion of stationary units Sn over a sufficiently large area to obviate the need for a multitude of units. Thus, depending upon the building size, as few as one, two or three units may be disposed on a given floor. In fact, it is possible that only the minimum five units could be located about a single building to provide tracking coverage for the entire building. As the movable unit M is moved to the various points of interest, the CS is dynamically calculating the absolute position of r→x. Preferably, the stationary units encompass a volume of space in which the movable unit is to be tracked. That is, the movable unit moves within a space that is intermediate at least two stationary units.
The combination of the moveable transmitting unit M and the stationary units Sn forms a conventional telemetric channel. Referring to FIG. 2, the transmitter includes a system clock (CL) and a field programmable gate array chip that performs a state machine (SM) type function. If the system is required to operate at a frequency higher than the maximum clocking speed of the chip, than the output signal can be mixed with a high frequency carrier or preferably multiplied by an amplifier (MU) operating deeply in C class. The signal from the MU is sent to the power amplifier (PA) followed by the omnidirectional antenna (ANT). It is believed that in many applications of short distance multidimensional tracking, the blocks MU and PA can be omitted.
A transmitted signal can employ any time domain function ST (t) that sufficiently satisfies a principle: ##EQU1## for any τ≠nT and τεwhere:
n is an integer
T is a period of ST (t)
is the area of possible signal delays
The ST (t) is generally known and dependent on limited set of unknown parameters (usually frequency and phase ω, φ). As an example ST (t, ω, φ) can be represented by sinusoidal carrier modulated by Gold's sequence using Biphase-Shift Keying modulation (Direct Sequence Spread Spectrim communication). For some applications, the receiver can have lock-in capabilities allowing small changes of τ. In these cases could be relatively small and the signal ST (t, ω, φ) can be represented even by the continuous wave (CW) employing a narrow bandwidth communication. However, narrow bandwidth communication is applicable in certain situations, but this type of communication is not suitable in a multi-path propagation environment. If the multi-path propagation has significant influence or if applications require a rapid position measurement of several transmitters, then the lock-in capabilities are not available and has to cover all measured space. In those, cases the condition (1) should be valid for all values of potential propagation's delays.
The time-of-flight of the transmitted signal is proportional to the length of the propagation path (distance), which is ultimately a function of speed of the light. The receiver system is comprised of several antenna elements and has the capability of simultaneous or coherent reception of the transmitted signal from all its elements in the array receiver. The signal received by the n-th element (stationary unit Sn) of the receiver array can be described as: ##EQU2## where: Il,n is an unknown propagation coefficient of l-th propagation path to n-th antenna.
τn is generally unknown but constant inherent receiver's delay of the n-th element
dl,n is the unknown distance of the l-th propagation path from the transmitter antenna to n-th element of the receiver antenna
FIG. 3 shows an example of the receiver circuit. Each receiver compares a received signal with one reference signal or internal signal. The received signal Sn (t, ω, φ) is amplified in a low noise amplifier (LNA) and mixed with the signals SLI (t, ω, φ) and SLQ (t, ω, φ) from a local code generator (LG). LG has similar structure to the transmitter with the additional ability to adjust parameters ω, φ of the signals SLI (t, ω, φ) and SLQ (t, ω, φ). Similarly like ST (t, ω, φ), SLI (t, ω, φ) and SLQ (t, ω, φ) has to fulfill following principles: ##EQU3## and ##EQU4## for any τ0 =nT+d0 and τ1 ≠τ0 and τε
where: d0 --unknown coefficient to be determined which is a measure of the propagation time.
Following the mixer, the signal passes through the analog band pass filter (BPF) combined with a .increment.Σ type of analog to a digital (A/D) converter. The mixer, LG and BPF form a first stage of Wiener filter, where the square root of an uncorrelated signal is minimized by the adjustment of the ω0, φ0 parameters. Further operations are performed exclusively by a digital signal processor (DSP).
The signal xIn and xQn from each A/D converter is passed to a linear match filter (MF) which block diagram is shown on FIG. 4. The matched filters are coherent detectors, as set forth in L. M. Garth, H. V. Poor, Detection of Non-Guassian Signals: A Paradigm for modern Statistical Signal Processing, Proceedings of IEEE Vol. 82, No. 7, 1994. Impulse responses of the filter hmfl(t) and hmfQ(t) are described as:
hmfi(t)≈ST (t, ω, φ)SLI [t(1+α), ω0, φ0 ]
hmfQ(t)≈ST (t, ω, φ)SLQ [t(1+α), ω0, φ0 ]
α--known time scale factor
ω0, φ0 --estimated values for ω, φ,
Functions ym (t) and Yn (t) from each matched filter MF are cross correlated by CR. The maximum of cross correlation function Rmn (τ) of ym (t) and Yn (t) corresponds to the difference between the propagation time τm,n of the received signals SM (t, ω, φ) and SN (t, ω, φ).
In a multi-path propagation case the cross correlation function Rmn (τ) will have several local maxims. Many researchers published data indicating that, if line-of-sight exists, the direct propagation will exceed the reflection/refraction propagation by approximately 20 dB (indoor environment). In this case, the system should search for global maximum of Rmn (τ) to calculate τm,n. Similarly, even if line-of-sight does not exists, but scattering of the transmitted signal is symmetrically distributed along a receiver axis (random medium), then the global maximum of Rmn (τ) will approximate to τm,n. of a direct propagation path.
The time differences τm,n are re-scaled by the speed of light c to obtain the measurements in the spatial domain dm,n =τm,n *c That is, the differences between the lengths of the transmitted signal propagation paths are determined. Values of dm,n from each channel are treated as an output signal from the array receiver and they form matrix D, a base input to the reconstruction procedure (RP).
To estimate the value of propagation independent parameter (or parameters) of ST (t, ω, φ) (usually frequency ω) the receiver of the stationary unit uses a non coherent detector (NCD) as shown on FIG. 5. Based on information from the NCD, local generator regulator (LGR) adjusts the local code generator LG for optimum shape of SLI (t, ω, φ) and SLQ (t, ω, φ).
The reconstruction procedure takes the output of the receiver D=[dm,n ] which is the measured differences in length between propagation paths from each neighboring channel and calculates the position vector of the tracked unit r→x. The present reconstruction procedure employs system of linear equations to resolve r→x base on data D=[dm,n ]. The following equation can be used to reconstruct the position vector r→x :
r→x ·2(r→5 -r→1)+d15 ν=|r→5 |2 -|r→1 |2 +d15 2
r→x ·2(r→5 -r→2)+d25 ν=|r→5 |2 -|r→2 |2 +d25 2
r→x ·2(r→5 -r→3)+d35 ν=|r→5 |2 -|r→3 |2 +d35 2
r→x ·2(r→5 -r→4)+d45 ν=|r→5 |2 -|r→4 |2 +d45 2
·--vector scalar product
v--unknown arbitrary scalar variable
r→n --position vector of n-th antenna component
dmn --signal from receiver
Equation (5) can be rewritten in its matrix form: ##EQU5## where: x.-ξ th coordinate of vector r→x anξ -th coordinate of vector 2(r→5 -r→n)
bn =|r→5 |2 -|r→n |2
Using the proposed procedure in three dimensions, a minimum five channel receiver array is required. That is, five stationary units Sn are employed. Many direct numerical methods are known to solve the equation (6). The system (6) is over-determined so there are five combinations of this form. Further improvements can be achieved by adding more antenna elements, usually through the addition of additional stationary units Sn. In a fully deterministic case, all solutions should have exactly the same value. However, in non deterministic conditions (noisy environment, multi-path propagation, jamming) the over-determined measurement gives an additional ability to calculate the weighted center--the expected value of the vector r→x and the confidence interval--error of the measurement. (FIG. 6)
The calibration procedure allows to completely determine the structure of the reconstruction equation and thus r→x.
To apply the reconstruction procedure of equation (6), the elements anξ and bn of the matrixes must be known. One method is to measure the coordinates of each Sn unit and apply the findings to calculate the matrix elements. This direct method requires not only the employment of the independent positioning system but also all measurement errors will create additional inaccuracy in the tracking device.
A more efficient method is to measure the elements of matrixes directly using a calibration procedure. This procedure is based on several measurements of the values of dmn for different and known positions of the unit M. The unknown vector r→x in equation (6) will be substituted by several known vectors r→xi. At least ##EQU6## measurements are required to fully determine equation (6), where ξ is dimension. Thus, for three dimensions 6 measurements must be taken. All measurements have to be sufficiently spread and linearly independent, such that no three measurement positions lie on a straight line. The calibration process can employ a still fixture and the transmitter can be placed at each of its corners. The measurements will be taken separately at each position of the transmitter.
The linear equation (6) can be rewritten in the form: ##EQU7##
For tracking in three dimensions, at least six measurements has to be taken deriving the following system of equations: ##EQU8## where: Xk --coordinates of M unit at k-th measurement
Dk --value of D at k-th measurement
DK 2 value of D2 at k-th measurement
--6×1 matrix of unknown variables
The relation (8) is a 24 by 22 system of linear equations and it can be solved using one of many known linear algebra methods.
The elements anξ and bn of matrixes A and B from equation (8) found during calibration can be applied directly to the reconstruction relation (6).
Therefore, the present method allows determination of the absolute position of r→x without requiring the solution of quadratic equations. The use of linear equations and the over determined nature of the system allows the real time location of a tracked object.
An embodiment of the tracking system tracks one moveable transmitter with provisions to track multi-moveable transmitters. The tracking system complies with part 18 FCC regulation in HF spectrum. The transmitter operates at a frequency of 27.205 MHz, which is within ISM assign bandwidth. The frequency is not synthesized (crystal controlled), so to change this frequency, the transmitter and receiver crystals have to be changed. Power delivered to the antenna is in range of 25 dBm. This power is sufficient for the required range in open space environment. If substantially more range is needed or penetration through walls is required, power could be raised by employing a standard HF amplifier (linear). FCC allows unlimited power at that frequency. The system includes: a transmitter, an array receiver antenna, RF/DSP front-end unit and the main computer unit. Data can be exchanged using a standard RS232 port.
The present invention may also be embodied in alternative configurations which allow the tracking of multiple transmitters.
There are two ways to increase the number of tracked transmitters within a given system. The first option is to increase the number of RF/DSP units so each unit tracks one transmitter. The number of elements in the antenna array and computer unit will not change, as these units can be used to track many transmitters simultaneously. This option does not decrease the speed or quality of tracking and only one block (RF/DSP unit) per transmitter has to be added.
A second option is to track multiple transmitters sequentially. The advantage of this option is that it does not require any changes to the already developed hardware. For this option the tracking speed will decrease substantially in comparison with the first option or single tracked transmitter. Not only will each transmitter be tracked one at the time, but a substantial additional time will be needed to initially lock the receiver into each transmitter. Initial locking time will depend on signal strength and it could take several seconds for each transmitter.
To embed a unique ID code into each transmitter the circuit uses programmable device--microcontroller. The controller can be programmed and reprogrammed no more than 100 times, consequently the ID code has to be assigned to each transmitter permanently.
A small digital receiver block may be placed inside the transmitter unit. This block may be used to establish a more reliable communication protocol (similar to ALE protocol used by the government). The block's size is 1.6×0.6×0.2 inch w/o local oscillator and draws approximately 10 mA.
While a preferred embodiment of the invention has been shown and described with particularity, it will be appreciated that various changes and modifications may suggest themselves to one having ordinary skill in the art upon being apprised of the present invention. It is intended to encompass all such changes and modifications as fall within the scope and spirit of the appended claims. That is, The position reconstruction method for tracking system that is based on estimations of signal time arrival that uses over-determined system and at least one additional variable that allows to use a linear system of equations.
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|U.S. Classification||342/465, 342/451|
|International Classification||G01S5/06, G01S19/21, G01S19/26, G01S1/02|
|Cooperative Classification||G01S5/06, G01S1/026|
|26 Aug 2003||FPAY||Fee payment|
Year of fee payment: 4
|22 Oct 2007||FPAY||Fee payment|
Year of fee payment: 8
|5 Dec 2011||REMI||Maintenance fee reminder mailed|
|25 Apr 2012||LAPS||Lapse for failure to pay maintenance fees|
|12 Jun 2012||FP||Expired due to failure to pay maintenance fee|
Effective date: 20120425